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data augmentation

3037 papers

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Also known as

DA-MCMC DADA DA TTA ADA EDA

Co-occurring keywords

text classification (6776) large language model (12755) transfer learning (5442) semi-supervised learning (2331) few-shot learning (3390) domain adaptation (4578) machine translation (2472) image classification (1943) language model (4573) low-resource language (2234)

Papers

Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation AAAI 2023
Mr-Fosdick at SemEval-2023 Task 5: Comparing Dataset Expansion Techniques for Non-Transformer and Transformer Models: Improving Model Performance through Data Augmentation ACL 2023
HULAT at SemEval-2023 Task 9: Data Augmentation for Pre-trained Transformers Applied to Multilingual Tweet Intimacy Analysis ACL 2023
HULAT at SemEval-2023 Task 10: Data Augmentation for Pre-trained Transformers Applied to the Detection of Sexism in Social Media ACL 2023
Multiple Evidence Combination for Fact-Checking of Health-Related Information ACL 2023
Automatic Data Augmentation Selection and Parametrization in Contrastive Self-Supervised Speech Representation Learning INTERSPEECH 2022
AdaAug: Learning Class- and Instance-adaptive Data Augmentation Policies ICLR 2022
A Framework to Generate High-Quality Datapoints for Multiple Novel Intent Detection NAACL 2022
Effective Data Augmentation for Sentence Classification Using One VAE per Class COLING 2022
Dynamic Nonlinear Mixup with Distance-based Sample Selection COLING 2022
ParaZh-22M: A Large-Scale Chinese Parabank via Machine Translation COLING 2022
GraDA: Graph Generative Data Augmentation for Commonsense Reasoning COLING 2022
DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification COLING 2022
CILDA: Contrastive Data Augmentation Using Intermediate Layer Knowledge Distillation COLING 2022
Dataset Augmentation in Papyrology with Generative Models: A Study of Synthetic Ancient Greek Character Images IJCAI 2022
Adversarial Bi-Regressor Network for Domain Adaptive Regression IJCAI 2022
On Mixup Regularization JMLR 2022
PM-MMUT: Boosted Phone-mask Data Augmentation using Multi-Modeling Unit Training for Phonetic-Reduction-Robust E2E Speech Recognition INTERSPEECH 2022
Low-data? No problem: low-resource, language-agnostic conversational text-to-speech via F0-conditioned data augmentation INTERSPEECH 2022
Mitigating bias against non-native accents INTERSPEECH 2022
Non-Parallel Voice Conversion for ASR Augmentation INTERSPEECH 2022
Voice Conversion Can Improve ASR in Very Low-Resource Settings INTERSPEECH 2022
When Is TTS Augmentation Through a Pivot Language Useful? INTERSPEECH 2022
Synthesizing Near Native-accented Speech for a Non-native Speaker by Imitating the Pronunciation and Prosody of a Native Speaker INTERSPEECH 2022
Improving Data Driven Inverse Text Normalization using Data Augmentation and Machine Translation INTERSPEECH 2022